CVMI-2023
10-11 December, 2023
Jointly organized by ABV-IIITM Gwalior, India and University of the Ryukyus, Japan
http://cvmi2023.iiitm.ac.in/
The present world is witnessing rapid advancements in the field of Information Technology, specifically, in the areas of Computer Vision and Machine Intelligence, cherished by the society and industry. The amount of Research and Development activities across the globe has been drastically scaled up from the past few decades in these research areas. Hence, the second international conference on Computer Vision and Machine Intelligence (CVMI) 2023 is organized at Atal Bihari Vajpayee Indian Institute of Information Technology and Management (ABV-IIITM), Gwalior, Madhya Pradesh, India from 10 to 11 December 2023. The first version of the CVMI was organized by IIIT Allahabad in 2022. This conference is meant for researchers from academia, industries and research & development organizations all over the globe interested in the areas of computer vision, artificial intelligence, optimization, machine learning algorithms, and related applications. It will put special emphasis on the participations of PhD students, Postdoctoral fellows and other young researchers from all over the world. It would be beneficial to bring together a group of experts from diverse fields to discuss recent progress and to share ideas on open questions. The conference will feature world-class keynote speakers in the main areas.
CVMI-2023 welcomes high-quality, original, and previously unpublished submissions in computer vision and machine intelligence. Topics of interests for the CVMI-2023 conference include, but not limited to, the following:
Track 1: Image and Video Processing
Image/video processing
Image/video synthesis
Image Enhancement/Super Resolution / Restoration
Image/ Video Retrieval
Remote sensing, Multispectral/Hyperspectral image Processing
Segmentation and Shape Representation
Image/Video Scene Understanding
Medical Image and Video Analysis
Stereo Vision
Document Image Analysis
Image and Video Matching
Track 2: Biometrics and Security
Biometrics, Forensics, Content protection
Face, Iris, Emotion, Sign Language and Gesture Recognition
Action and Event Detection/Recognition
Motion and Tracking
Vision-based Human GAIT Analysis
Image/Video Security
Track 3: Artificial Intelligence Applications
Computational Intelligence
Optimization Techniques
Explainable AI
Value AI
Robotic Intelligence
Data Intelligence
Multimedia Intelligent Systems
Document and Synthetic Visual Processing
Transfer Learning
Multi-task Learning
Evolutionary Algorithms
Graph Convolutional Networks
Track 4: Autonomous and Intelligent Systems
Brain-Computer Interaction
IoT based Intelligence
Light-weight Intelligent Systems
Hardware Realization of Intelligent Systems
Robustness of Intelligent Systems
Adversarial Intelligent Systems
Autonomous Learning Paradigm
Submission Guidelines:
Prospective authors are invited to submit full-length original research papers. In submitting a manuscript to CVMI-2023, authors acknowledge that no paper substantially similar in content has been or will be submitted to another journal, conference or workshop during the review period. In such a case the paper will be rejected without review. Papers must be electronically submitted before the deadline expires without exception. The paper must not exceed 6 pages in length (including all text, figures, and references). The manuscript must be submitted in pdf format only and the file size of your manuscript should not exceed 10 MB. However, authors can add up to 2 extra pages with the appropriate fee payment per page. The manuscript must be submitted in pdf format only and the file size of your manuscript should not exceed 10 MB. CVMI-2023 follows single blind review process. Authors must use the manuscript template as follows:
Overleaf (https://www.overleaf.com/gallery/tagged/ieee-official),
LaTeX (https://www.ieee.org/content/dam/ieee-org/ieee/web/org/conferences/IEEEtranBST2.zip), or
Word (https://www.ieee.org/content/dam/ieee-org/ieee/web/org/conferences/conference-template-a4.docx).
The manuscript has to be uploaded online at the ICCVMI-2023 Microsoft Research paper submission portal using the following link:
https://cmt3.research.microsoft.com/ICCVMI2023.
Publication:
The proceedings of the conference will be published by IEEE (Scopus indexed). Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements. Any paper selected for presentation but not physically present at the conference will not be published by IEEE.
Important Dates: (All times in IST)
Full paper submissions: July 15, 2023, 23:59 IST
Research paper notifications: September 15, 2023, 23:59 IST
Camera-ready submission: November 20, 2023, 23:59 IST
CALL FOR TUTORIAL
CFS.pdfUncertainty Quantification for Computer Vision Workshop & Challenge at ICCV 2023 (2nd Edition)
May 24th, 2023 
Daniela Lopez de Luise ********************************
Call for Papers
“Uncertainty Quantification for Computer Vision” Workshop & Challenge at ICCV 2023 (2nd Edition)
********************************
Submission Deadline July 18th AOE
Two types of paper are welcome:
– Regular Papers –
(novel contributions not published previously)
– Extended Abstracts –
(novel contributions or papers that have been already accepted for publication previously)
CALL FOR PAPERS, Beyond Vision – Physics meets AI, ICIAP workshop
May 24th, 2023 Daniela Lopez de Luise
Dear all,
We are pleased to announce that the first edition of the workshop Beyond Vision: Physics meets AI (https://physicsmeetsai.github.io/beyond-vision/) will be held in conjunction with the 22nd edition of the International Conference on Image Analysis and Processing (ICIAP2023, link: https://iciap2023.org/), on September 11th-15th, 2023, in Udine.
Beyond Vision: Physics meets AI is the first ICIAP workshop devoted to Nuclear and other Physics-based Imaging technologies and the applications of Statistical Learning methods and Artificial Intelligence techniques to Physics.
The aim of the workshop is to furnish researchers with different backgrounds a place to share experiences, learn best practices and contribute to the discussion about the current challenges in the application of Statistical Learning and Artificial Intelligence methods to various physics domains, and explore the possibilities offered by the Nuclear vision systems to the many possible applicative realms.
Researchers and Technologists willing to participate in the Workshop should submit a paper through the CMT3 workshop page, https://cmt3.research.microsoft.com/BVPAI2023, passing through a double-blind review phase.
The submission deadline is July, 10th, 2023. Accepted papers will be published in Springer Lecture Notes in Computer Science (https://www.springer.com/gp/computer-science/lncs).
For more information on the call for papers, see https://physicsmeetsai.github.io/beyond-vision/call-for-papers/.
For any other questions, feel free to contact the workshop organisers (https://physicsmeetsai.github.io/beyond-vision/organizers/).
Best regards,
Alessandro Bombini
INFN, Sezione di Firenze
Matteo Barbetti
Università di Firenze
Lisa Castelli
INFN, Sezione di Firenze
Stefano dal Pra,
INFN-CNAF
Call for a 3-year post of Lecturer/Assistant Professor/”Ricercatore a Tempo Determinato JUNIOR (RTD-A)” Faculty of Engineering, Free University of Bozen-Bolzano, Italy
May 24th, 2023 Daniela Lopez de Luise Administrative support for the preparation/check of the formal documentation to be submitted is available.
AI in the City: Efficient, Scalable and Privacy-Preserving Visual Scene Understanding in Man-Made Environments
May 24th, 2023 Daniela Lopez de Luise www.euvip2023.org/index.php/technical-program/special-sessions/
11th European Workshop on Visual Information Processing (EUVIP)
September 11-14, 2023, Gjøvik, Norway.
www.euvip2023.org
Contacts: amine.bourki@viziosense.com and mohib.ullah@ntnu.no
Dear Colleague,
We are pleased to invite you to submit papers to our special session titled “AI in the City: Efficient, Scalable and Privacy-Preserving Visual Scene Understanding in Man-Made Environments” at the 11th European Workshop on Visual Information Processing (EUVIP). The event will take place on 11th-14th September 2023 in Gjøvik, Norway.
The workshop will bring together leading experts from academia and industry interested in visual information processing, applications and performance assessment for all types of visual modalities. The program will feature lecture, poster and plenary sessions, as well as special sessions and tutorials.
Please find the details of our special session below:
Title: “AI in the City: Efficient, Scalable and Privacy-Preserving Visual Scene Understanding in Man-Made Environments.”
Organizers:
Amine Bourki, VizioSense AI Lab, Paris, France
Mohib Ullah, NTNU, Gjøvik, Norway
Abstract- Man-made environments such as buildings and cities are typically characterized by their large scale, dynamic nature and the dense population of objects and people they contain. With the recent significant advances in Visual AI and the democratization of massive visual information that enable autonomous systems, surveillance applications, and real-time data acquisition from indoor-or outdoor man-made scenes, the processing of such visual information requires a specific attention to several aspects. These include robustness, data- and computation efficiency, scalability, as well as addressing the ethical concerns associated with individual privacy which can be compromised through direct (e.g., facial recognition), or indirect (e.g., vehicle plate recognition) identification methods. This special session aims to encourage novel contributions in the field of visual scene understanding, with an emphasis on addressing the challenges related to robustness, scalability and privacy in the realm of large, dynamic and densely populated scenes such as cities and buildings.
Topics of interest include, but are not limited to:
● Scene understanding:
○ Semantic, instance level and panoptic segmentation,
○ Object detection,
○ Joint geometric-semantic reasoning,
○ 3D from multi-view and sensors,
○ Efficient and scalable vision,
○ Segmentation and shape analysis,
○ Perceptual grouping and counting,
○ Crowd analysis,
○ Behavior analysis,
○ Multi-modality, RGB-D and point clouds,
○ Drones and autonomous vehicles.
● Dynamic environments:
○ Multi-Object Tracking (MOT),
○ Person and object re-IDentification (re-ID),
○ Multi-Camera, Multi-Object Tracking (MC-MOT),
○ Real-time acquisition and processing,
○ Object pose estimation.
● Privacy, Edge AI and social impact:
○ Privacy-by-design in visual processing systems,
○ Embedded and video surveillance systems,
○ Deep Learning for compute-constrained and low-power devices,
○ Power efficient Deep Learning and Green AI,
○ Ethics, fairness and explainability in Visual AI.
● Research reproducibility:
○ Datasets and evaluation.
Important dates:
Paper Notifications: 11th July, 2023.
Camera Ready Submissions: 20th July, 2023.
Best regards,
Special Session Co-Organizers:
Dr Amine Bourki, VizioSense AI Lab, Paris, France and
Dr Mohib Ullah, NTNU, Gjøvik, Norway.